ZNF492 and GPR149 methylation patterns as prognostic markers for clear cell renal cell carcinoma: Array‑based DNA methylation profiling.
Adult
Aged
Aged, 80 and over
Biomarkers, Tumor
/ genetics
Carcinoma, Renal Cell
/ genetics
CpG Islands
DNA-Binding Proteins
/ genetics
Disease Progression
Female
Humans
Kidney Neoplasms
/ genetics
Male
Middle Aged
Oligonucleotide Array Sequence Analysis
/ methods
Prognosis
Receptors, G-Protein-Coupled
/ genetics
Sequence Analysis, DNA
/ methods
Survival Analysis
Transcription Factors
/ genetics
Journal
Oncology reports
ISSN: 1791-2431
Titre abrégé: Oncol Rep
Pays: Greece
ID NLM: 9422756
Informations de publication
Date de publication:
Jul 2019
Jul 2019
Historique:
received:
13
12
2018
accepted:
02
05
2019
pubmed:
23
5
2019
medline:
24
12
2019
entrez:
23
5
2019
Statut:
ppublish
Résumé
The present study aimed to identify novel methylation markers of clear cell renal cell carcinoma (ccRCC) using microarray methylation analysis and evaluate their prognostic relevance in patient samples. To identify cancer‑specific methylated biomarkers, microarray profiling of ccRCC samples from our institute (n=12) and The Cancer Genome Atlas (TCGA) database (n=160) were utilized, and the prognostic relevance of candidate genes were investigated in another TCGA dataset (n=153). For validation, pyrosequencing analyses with ccRCC samples from our institute (n=164) and another (n=117) were performed and the potential clinical application of selected biomarkers was examined. We identified 22 CpG island loci that were commonly hypermethylated in ccRCC. Kaplan‑Meier analysis of TCGA data indicated that only 4/22 loci were significantly associated with disease progression. In the internal validation set, Kaplan‑Meier analysis revealed that hypermethylation of two loci, zinc finger protein 492 (ZNF492) and G protein‑coupled receptor 149 (GPR149), was significantly associated with shorter time‑to‑progression. Multivariate Cox regression models revealed that hypermethylation of ZNF492 [hazard ratio (HR), 5.44; P=0.001] and GPR149 (HR, 7.07; P<0.001) may be independent predictors of tumor progression. Similarly, the methylation status of these two genes was significantly associated with poor outcomes in the independent external validation cohort. Collectively, the present study proposed that the novel methylation markers ZNF492 and GPR149 could be independent prognostic indicators in patients with ccRCC.
Identifiants
pubmed: 31115548
doi: 10.3892/or.2019.7151
doi:
Substances chimiques
Biomarkers, Tumor
0
DNA-Binding Proteins
0
GPR149 protein, human
0
Receptors, G-Protein-Coupled
0
Transcription Factors
0
ZNF492 protein, human
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM